Applying Machine Learning to your Data with GCP

所在平台: Coursera

课程主页: https://www.coursera.org/learn/data-insights-gcp-apply-ml

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课程简介

课程名称:将机器学习应用于数据(使用GCP) 课程概述:本课程定义了机器学习及其对商业的潜在益处。您将看到一些机器学习的实际演示,并学习关键的机器学习术语,如实例、特征和标签。在互动实验室中,您将练习调用预训练的机器学习API,以及仅使用SQL通过BigQuery ML构建自己的机器学习模型。 先决条件:为了最大限度地从本课程中获益,参与者必须完成该专业中的前置课程: - 使用BigQuery探索和准备数据 - 创建新的BigQuery数据集并可视化洞察 - 通过BigQuery实现高级洞察 课程大纲: 1. **介绍** 描述:课程内容概述。 2. **机器学习简介** 描述:定义机器学习及其对商业的好处,并查看一些机器学习的实际演示,学习关键术语,如实例、特征和标签。 3. **预训练的机器学习API** 描述:探讨可以访问的预构建和预训练的机器学习模型(如图像识别和情感分析)在Cloud Datalab中的应用。 4. **在BigQuery中创建机器学习数据集** 描述:了解如何使用BigQuery创建机器学习数据集。 5. **在BigQuery中创建机器学习模型** 描述:学习如何直接在BigQuery中创建机器学习模型,了解新语法,并经历构建、评估和测试机器学习模型的各个阶段。 6. **课程回顾** 描述:恭喜您完成课程!让我们回顾课程中学到的知识以及可用的持续学习资源。 通过注册本专业,您同意Qwiklabs服务条款,具体信息请参见FAQ:https://qwiklabs.com/terms_of_service

课程大纲

Name:Introduction

Description:Overview of what you will learn in this course

Name:Introduction to Machine Learning

Description:In this module, we define what Machine Learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels.

Name:Pre-trained ML APIs

Description:In this module we will dive into pre-built and pre-trained ML models that we can access (like image recognition and sentiment analysis) within Cloud Datalab.

Name:Creating ​ML Datasets in BigQuery

Description:Understand how to create ML datasets with BigQuery.

Name:Creating ML Models in BigQuery

Description:In this module, you will learn how to create machine learning models directly inside of BigQuery. You will learn the new syntax and work through the phases of building, evaluating, and testing an ML model.

Name:End of Course Recap

Description:You've made it to the end! Let's review the lessons learned in the course and what resources are available for continued learning.

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课程详情

In this course, we define what machine learning is and how it can benefit your business. You'll see a few demos of ML in action and learn key ML terms like instances, features, and labels. In the interactive labs, you will practice invoking the pre-trained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. PREREQUISITES To get the most out of this course, participants must complete the prior courses in this specialization: • Exploring and Preparing your Data with BigQuery • Creating New BigQuery Datasets and Visualizing Insights • Achieving Advanced Insights with BigQuery >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<

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